Join Schneider Electric and power your career!Discover the opportunity to join an international, dynamic, and responsible company that fosters the development of all its people around the world. Every day, we empower employees to achieve more and experience exciting careers. Find out how our values and unique position make Schneider Electric the employer of choice.Sr. IT Business Analyst / Data ScientistAs a Sr. IT Business Analyst / Data Scientist specializing in procurement AI projects, you will play a crucial role in developing and implementing advanced data analysis techniques, statistical modeling, and machine learning algorithms. Also, the responsibility of deploying the models into operation working closely with the business. Your primary focus will be to solve challenging operational problem trough the implementation of data products using classification models, time series analysis and computer vision techniques in some cases. You will be responsible for leveraging data-driven insights to optimize procurement processes and drive efficiency in NAM Procurement.Responsibilities· Perform exploratory data analysis to identify patterns, trends, and potential problems.· Develop and apply statistical and machine learning models to predict, classify or segment data.· Acquire, clean, and transform data from various sources to ensure quality and consistency· Optimize models to improve their performance and relevance in the business context.· Collaborate with cross functional teams to understand the problems and objectives that can be addressed with data analytics.· Web Systems Analysis, Design and Development, BackEnd / FrontEnd.· Assess user experience base on UX/UI.· identify system and workflow requirements, create software specifications from a business perspective,Requirements:· Strong experience in developing and deploying classification models time series models.· Proficiency in machine learning libraries and programming languages.· Solid understanding of statistical modeling, data analysis, and exploratory data techniques.· Experience working with large-scale datasets and implementing data preprocessing and feature engineering techniques.· Strong problem-solving skills and ability to translate business requirements into actionable data science solutions.· Excellent communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders.· Familiarity with computer vision techniques (e.g., image recognition, object detection) is a plus.- Programming Language: Python, R, C#, .NET, JAVA, SQL.- Python Libraries: Pandas, Matplotlib, Seaborn, Scikit-Learn, NumPy, TensorFlow, Keras.- Data visualization: Tableau, Business Objects, Power BI.QualificationsCare. Connect. Challenge. Commit.Our values define our company. Who we are, our customer approach, how we do business, what it’s like to work here, and the kind of people we want to attract and retain. We care for our planet, our customers, our company, our team, and ourselves. We connect to customers and colleagues; we are open and respectful. We challenge others and embrace challenges ourselves. We commit to change by leading the change.At Schneider Electric, because we value our employees, we offer a competitive benefits package that includes medical, dental and vision, matching 401(k), training and development opportunities and much more. Join Schneider Electric and together, let’s make the most of your energy.
